DIGIMU® predicts microstructural evolutions occurring during thermomechanical processes and heat treatments of metallic alloys. GENERATE REALISTIC POLYCRISTALS PREDICT GRAIN GROWTH Give a grain size distribution, a second phase particle distribution and a dislocation density distribution, or import it from experimental data. Driven by capillarity forces, and stored energy gradient at the interfaces. The plot shows you the grain size distribution of your polychristal Enhance products’ quality Assist developments of high-end alloys Import initial microstructure directly from micrograph Control grain size Understand the impact of second phase particles Master industrial risks PINNING ON PRECIPITATES DRIVEN BY CAPILLARITY Dragging forces on grain boundaries directly driven by capillarity pressures dues to second phase particles curvature. Predict abnormal grain growth THE DIGITAL SOLUTION FOR MICROSTRUCTURAL EVOLUTION Anisotropic Automatic Adaptive mesh generation at grain boundaries and around second phase particles Prediction of microstructural evolution during thermal treatment driven by the reduction of the total grain boundaries area KEY FEATURES • Documented procedure to identify growth and recrystallization parameters • Unique AAA remeshing (automatic - adaptive – anisotropic) • Model recrystallization phenomena occuring during metal forming processes • Intuitive graphical user interface • High parallel computing compatibility • Continuous flow from the DIGIMU industrial chair research results MODEL HARDENING, RECOVERY, STATIC DYNAMIC AND POSTDYNAMIC RECRYSTALLIZATION Simulate polycristal deformations, hardening and recovery, nucleation, and following nuclei growth. Visualization of recrystallisation on a 304L austenitic stainless steel during hot forming and con

The History of DIGIMU® The DIGIMU® software is rooted in research results from the DIGIMU consortium and the ANR Industrial Chair, handled by CEMEF, Armines Mines ParisTech, with 8 renowned French industrial partners and Transvalor. The ambitious goals of the DIGIMU Consortium with a budget of 1.23 million euros imply a strong academic challenge. This consortium combines the development of innovative digital methods, metallurgical models, experimental work, expertise and feedback from the companies involved. The software was first released commercially in 2016 and was the prize-winner of the...